Routing & Capacity Analyst

DHL Express; Diegem; Sur place; EUR 60 000 - 90 000; Plein temps

Avantages offerts par ce poste

Career development

Exposure to ML & analytics tools

International team across Europe

Résumé du poste

DHL Express in Diegem, Belgium, seeks an early-career Routing & Capacity Analyst to turn operational data into actionable insights. You will build statistical and optimization models, apply ML techniques, and support decision-making across the European road network.

This role blends analytics with business impact in a fast-growing logistics environment. You will collect and prepare data, collaborate with stakeholders, and develop prototypes to demonstrate value, with mentoring from experienced

Qualifications

• University degree in Mathematics, Statistics, Physics, Computer Science, Engineering, Data Science, or a related quantitative discipline.
• Up to 2 years of professional experience in data analytics, data science, statistics, research, or a related field.
• Strong knowledge of machine learning, statistics, and/or mathematical optimization techniques.
• Experience analyzing complex datasets and building analytical or mathematical models.
• Proficiency in programming or scripting languages such as Python, R, or Java.
• Strong analytical and problem-solving skills with the ability to identify patterns and insights from data.
• Ability to translate analytical results into practical business recommendations.
• Comfortable working with large datasets and performing data cleansing and preparation activities.
• Interest in operational research, forecasting, predictive analytics, or network optimization.
• Ability to communicate technical and analytical concepts to both technical and non-technical audiences.
• Strong attention to detail and commitment to delivering high-quality results.
• Proactive, curious, and eager to learn new analytical methods and technologies.
• Strong teamwork and collaboration skills within international and cross-functional environments.
• Independent work ethic with a positive, solution-oriented mindset.
• Fluent English is required; additional languages are considered an advantage.

Responsabilités

• Support the execution of data analytics projects in collaboration with project leads and supervisors.
• Analyze business processes and identify problem areas, opportunities, and analytical requirements.
• Collect, prepare, cleanse, and validate data from multiple sources.
• Develop statistical, mathematical, and optimization models to support business decision-making.
• Apply machine learning, forecasting, and analytical techniques to operational and network challenges.
• Interpret model outputs and translate analytical findings into meaningful business insights.
• Develop and implement analytical prototypes and proof-of-concept solutions for business users.
• Support the adoption of data-driven decision-making across the organization.
• Contribute to the development of analytical methodologies and best practices.
• Select and apply appropriate analytical techniques to solve business problems.
• Prepare presentations and reports that communicate complex analytical results in a clear and understandable way.
• Collaborate with internal stakeholders to understand business requirements and translate them into analytical solutions.
• Manage relationships with internal and external stakeholders on data analytics topics.
• Engage with specialist networks and communities to stay current with industry trends and analytical methodologies.
• Support knowledge sharing and the transfer of expertise from completed projects into operational teams.

Connaissances

Data analytics

Data science

Machine learning

Statistics

Mathematical optimization

Python

R

Java

Problem solving

Communication

Formation

Bachelor's or Master's degree in a quantitative field

Outils

Python

R

SQL

Excel

Description du poste

DHL Express - a company that connects people! What makes DHL great? Our People! We know each employee’s individual contributions make us the #1 Express Delivery and Logistics Company in the world. Distinguished as No.1 World’s Best Workplace™ by Great Place to Work and Fortune Magazine DHL Express is committed to maintaining an environment that empowers every team member to make the greatest possible impact on our business. Our corporate culture is about personal commitment – to our business, to each other and to our global communities. DHL is dedicated to being a great place to work.

Start YOUR career with DHL today!

We are looking for a Routing & Capacity Analyst based in Diegem, Belgium, to support the optimization and continuous improvement of DHL's European road network through data-driven insights and advanced analytics. In this role, you will contribute to data analytics projects that help transform complex operational data into valuable business intelligence, supporting more effective decision-making across network operations. Working closely with business stakeholders, project leads, and analytics experts, you will develop statistical and mathematical models, analyze operational processes, and identify opportunities to improve network performance. This role offers an excellent opportunity for an early-career analytics professional who is passionate about applying data science, machine learning, and optimization techniques to solve real-world business challenges.

How will you contribute to the success of DHL?

• Support the execution of data analytics projects in collaboration with project leads and supervisors.
• Analyze business processes and identify problem areas, opportunities, and analytical requirements.
• Collect, prepare, cleanse, and validate data from multiple sources.
• Develop statistical, mathematical, and optimization models to support business decision-making.
• Apply machine learning, forecasting, and analytical techniques to operational and network challenges.
• Interpret model outputs and translate analytical findings into meaningful business insights.
• Develop and implement analytical prototypes and proof-of-concept solutions for business users.
• Support the adoption of data-driven decision-making across the organization.
• Contribute to the development of analytical methodologies and best practices.
• Select and apply appropriate analytical techniques to solve business problems.
• Prepare presentations and reports that communicate complex analytical results in a clear and understandable way.
• Collaborate with internal stakeholders to understand business requirements and translate them into analytical solutions.
• Manage relationships with internal and external stakeholders on data analytics topics.
• Engage with specialist networks and communities to stay current with industry trends and analytical methodologies.
• Support knowledge sharing and the transfer of expertise from completed projects into operational teams.

Do you have what it takes?

• University degree in Mathematics, Statistics, Physics, Computer Science, Engineering, Data Science, or a related quantitative discipline.
• Up to 2 years of professional experience in data analytics, data science, statistics, research, or a related field.
• Strong knowledge of machine learning, statistics, and/or mathematical optimization techniques.
• Experience analyzing complex datasets and building analytical or mathematical models.
• Proficiency in programming or scripting languages such as Python, R, or Java.
• Strong analytical and problem-solving skills with the ability to identify patterns and insights from data.
• Ability to translate analytical results into practical business recommendations.
• Comfortable working with large datasets and performing data cleansing and preparation activities.
• Interest in operational research, forecasting, predictive analytics, or network optimization.
• Ability to communicate technical and analytical concepts to both technical and non-technical audiences.
• Strong attention to detail and commitment to delivering high-quality results.
• Proactive, curious, and eager to learn new analytical methods and technologies.
• Strong teamwork and collaboration skills within international and cross-functional environments.
• Independent work ethic with a positive, solution-oriented mindset.
• Fluent English is required; additional languages are considered an advantage.

What do we offer?

• An opportunity to build your career within one of the world's leading logistics companies.
• Exposure to advanced analytics, machine learning, and network optimization projects.
• The chance to work with large-scale operational and transportation datasets.
• Collaboration with experienced data scientists, analysts, and business stakeholders across Europe.
• A dynamic and international working environment focused on innovation and continuous improvement.
• Opportunities to develop technical, analytical, and business skills.
• Exposure to cutting-edge analytical tools, methodologies, and technologies.
• A culture that encourages learning, collaboration, and knowledge sharing.
• Professional development and career growth opportunities within DHL.
• The opportunity to make a measurable impact on network performance, efficiency, and customer experience.

DHL is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.